US20150293550A1 - Load restoration for feeder automation in electric power distribution systems - Google Patents

Load restoration for feeder automation in electric power distribution systems Download PDF

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US20150293550A1
US20150293550A1 US14/746,120 US201514746120A US2015293550A1 US 20150293550 A1 US20150293550 A1 US 20150293550A1 US 201514746120 A US201514746120 A US 201514746120A US 2015293550 A1 US2015293550 A1 US 2015293550A1
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power
restoration
switch
logic
network
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US9733659B2 (en
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Fang Yang
Vaibhav Donde
Zhenyuan Wang
James Stoupis
David Lubkeman
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ABB Schweiz AG
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ABB Research Ltd Switzerland
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05FSYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
    • G05F1/00Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
    • G05F1/66Regulating electric power
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1415Saving, restoring, recovering or retrying at system level
    • G06F11/1441Resetting or repowering
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02HEMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
    • H02H7/26Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
    • H02H7/28Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured for meshed systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/805Real-time
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02HEMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H3/00Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
    • H02H3/02Details
    • H02H3/06Details with automatic reconnection
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02HEMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H3/00Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
    • H02H3/26Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to difference between voltages or between currents; responsive to phase angle between voltages or between currents
    • H02H3/265Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection responsive to difference between voltages or between currents; responsive to phase angle between voltages or between currents responsive to phase angle between voltages or between currents
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/30State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

Definitions

  • This invention relates to the field of restoring electric power to a distribution system after circuit abnormalities.
  • An electric power distribution system generally consists of a set of distribution substations, feeders, switches (circuit breakers, reclosers, etc.) electrical loads, and monitoring and control devices.
  • a distribution system delivers electric power energy (i.e., electricity) from distribution substations via feeders and switches to electrical loads (customers) that connect to feeders.
  • Feeders in a distribution system are usually configured in a radial type to make sure that each load is supplied by only one distribution substation (source) via one feeder at any instant. To maintain the radial configuration, each feeder is linked by a normally open tie-switch to its neighboring feeders.
  • a switch in the distribution system may be associated with an intelligent electronic device (IED) that have the following monitoring and control functions: (1) measuring and recording electrical and other types of switch related quantities, such as voltage, current, reclosing times (2) monitoring the switch status, (3) operating the switch between open or close, and (4) communicating information with master devices.
  • IED intelligent electronic device
  • Distribution system reliability can be greatly improved through the use of feeder automation technology that implements automatic fault detection, isolation, and load restoration.
  • IEDs associated with switches monitor the distribution system and communicate the corresponding information to the feeder automation master controllers located in substations. If a fault occurs in the distribution system, the master controller identifies the fault location, generates fault isolation and service restoration solutions in terms of a sequence of switch operations, and sends switching commands to IEDs to control corresponding switches.
  • Such prior art systems are often difficult to program/configure/engineer, slow to respond to changing network conditions, and hard to optimize the restoration solutions. Thus, there is a need in the art for improved feeder automation systems.
  • a method of restoring power in a power distribution network includes a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices.
  • the method includes providing at least one power restoration controller in communication with the intelligent electronic devices, defining at least one base network state, creating power restoration logic for the at least one base network state, simulating the power restoration logic for the at least one base network state, and transmitting the power restoration logic to the at least one power restoration controller which thereafter monitors and controls the intelligent electronic devices.
  • a method of restoring power in a power distribution network includes a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices, and a power restoration controller in communication with the intelligent electronic devices.
  • the method includes isolating the loading zone that is in a faulted state, identifying one or more un-served load networks including loading zones downstream from the loading zone in a faulted state, restoring power to each un-served load network from a single power source, opening the switch or switches that separate each un-served load network into two or more sub-networks if no single power source is capable of restoring power to the un-served load network, and restoring power to each of the sub-networks from a single power source, until the source capacity is exhausted or switch loading capacity is violated.
  • FIG. 1 is an exemplary power network according to the present invention.
  • FIG. 2 is a flowchart showing the restoration logic generation creation, validation, installation and execution process, according to the present invention
  • FIG. 3 is a screen shot of the network configuration tool according to the present invention.
  • FIG. 4 is a screen shot of the network state and restoration logic definition tool according to the present invention.
  • FIG. 5 is a screen shot of the network state and restoration logic definition tool displaying to the user the potential restoration network paths for selection.
  • FIG. 6 is a screen shot of a window for modifying and viewing the restoration logic.
  • FIG. 7 is a screen shot of the simulation tool for the predefined logics according to the present invention.
  • FIG. 8 is a screen shot of the logic processor operation log according to the present invention.
  • FIG. 9 shows the logic generation algorithm according to the present invention that identifies normally open tie-switches.
  • FIG. 10 is a second exemplary power network according to the present invention.
  • FIG. 11 shows the multi-path load restoration algorithm according to the present invention.
  • FIG. 12 shows a third exemplary power network according to the present invention.
  • FIG. 13 shows the third exemplary power network of FIG. 12 with a simulated fault at load node L 1 and the post-restoration network status.
  • FIG. 14 shows a table for determining whether un-served loads of FIG. 12 (when a fault is at load node L 1 ) can be restored in each subnetwork.
  • FIG. 15 shows a fourth exemplary power network according to the present invention.
  • FIG. 16 shows a table for determining whether un-served loads of FIG. 15 (when a fault is at load node L 1 ) can be restored in each subnetwork.
  • FIG. 17 shows the fourth exemplary power network of FIG. 15 after load restoration for a fault at load node L 1 .
  • an electric power network is shown and generally indicated by the numeral 10 .
  • the feeder automation infrastructure 11 is the control mechanism
  • the engineering station 12 is the location where the control logic is generated, customized, and transferred over to the power restoration controllers 13 .
  • electric power restoration involves the interplay between a plurality of power sources (S 1 /S 2 ), plural switching devices (Brk 1 /Brk 2 are circuit breakers, SW 1 /SW 2 /SW 4 //SW 6 are either reclosers or sectionalizers, SW 3 /SW 5 are tie switches), and a plurality of loading zones (L 1 /L 2 /L 3 /L 4 /L 5 /L 6 ).
  • An exemplary scenario may be the occurrence of a permanent fault at L 1 , wherein Brk 1 locks out after a predefined number of reclosing attempts.
  • the system must isolate the faulty load zone L 1 and second, attempt to restore the power to the load zones (L 2 , L 3 and L 6 ) that are unserved due to the lockout and isolation.
  • the objective is to minimize the number of switch operations and/or achieve the optimally balanced loading between alternative restoration sources (if two or more).
  • Feeder automation infrastructure 11 includes the IEDs 14 , the power restoration controllers 13 , and communication links 15 between IEDs 14 and controllers 13 .
  • Multiple controllers 13 may be required because each has finite processing power, and each has direct communication links to a finite number of IEDs 14 .
  • Controllers 13 may coordinate with each other to form a super controller. Further description of configurations are provided in co-owned U.S. application Ser. No. 11/687,213, which is hereby incorporated by reference in its entirety. According to one embodiment, the methods and system according to the present invention develops the control logic for the super controller.
  • the system and software that embody the present invention may advantageously reside at an off-line engineering station 12 . After the control logic and their associated settings are engineered, they may be transmitted to power restoration controllers 13 for real-time control operations.
  • a first step 100 the electric power system (network) is configured. This includes modeling the electric power network 10 (control object), as well as the feeder automation infrastructure 11 (IEDs and the controllers). This is done via the network configuration tool 16 shown in FIG. 3 , where the electric power network components and their connectivity are shown.
  • the electric power network model is an electrically correct topological model, and not a geographically faithful representation of the physical network.
  • the electrical topology is used to reduce the configuration efforts by users.
  • the basic electrical parameters of the system components are used by the present invention. Parameters may include loading capacity of sources (S 1 and S 2 ), switches (SW 1 -SW 6 ) and the feeder segments, maximum loading of load zones (L 1 -L 6 ), and the impedances of the feeder segments. This information allows the system to perform loading capacity checks and other restoration validation checks during logic generation.
  • the current network configuration may be validated at any time to prevent configuration errors.
  • the results may be shown to the user so that action may be taken to resolve the issues.
  • Network configuration validation may check for un-served loads, non-radial feeding and loading capacity violations.
  • IEDs 14 are configured and attached to the sources (S 1 , S 2 ) and switching devices (SW 1 -SW 6 ) in the electric power network 10 .
  • the IEDs 14 provide inputs to the controllers 13 and execute control actions through the switches (SW 1 -SW 6 ).
  • Each IED 14 is assigned to a controller 13 , and thus is configured to be in direct communication with that respective controller 13 .
  • the communication may be through wireless or wired means.
  • the controller 13 may poll or listen to associated IEDs 14 for data updates through a communication mechanism.
  • a network state is a particular network topology, or tie breaker location, coupled with loading capacity of sources.
  • asset management objectives such as load balancing of transformers, can be achieved by switching the network to different states, depending on the season and/or loading conditions of the power network.
  • load zone L 2 and L 6 are mainly air conditioning loads, and can vary between 100 ⁇ and 300 ⁇ in summer, the loadings of S 1 and S 2 are unbalanced.
  • the utility is better off using SW 5 and SW 6 as tie switches in this summer time-frame (to keep comfortable reserving capacity at both S 1 and S 2 , and to avoid excessive wearing of insulation at source transformer S 1 ).
  • the current tie switch assignment (SW 3 and SW 5 ) may then be used in winter time.
  • the user may define unique network states, one (“SW 6 , SW 5 as tie”) for summer and another (“SW 3 ,SW 5 as tie”) for winter. This may be done via the network state and restoration logic definition tool 17 shown in FIG. 4 .
  • the network shown is the base network state “SW 5 ,SW 6 as tie” (the network shown in FIG. 1 corresponds to base network state “SW 3 ,SW 5 as tie”).
  • the network validation principles discussed above may be applied to each defined base network state.
  • a next step 104 the power restoration logic for each base network state is designed.
  • the power restoration logic design according to step 104 is for a single permanent fault in a particular base network state.
  • the objective of power restoration logic is to isolate a single permanent fault and restore power to non-faulted load zones.
  • the design of the logic involves two steps. First, for a given base network state, power restoration logic is generated automatically, for a simulated permanent fault at each load zone. Next, the user views and modifies the logic as needed.
  • Automated logic generation not only avoids mistakes often made in manual logic generation process, it also greatly improves the speed of logic design. Capacity checks and other network validation checks may also be conducted to make sure the network state, after power restoration, functions properly.
  • the textual representation of logic is:
  • LockoutOnFaultRecloser is locked out on fault at load zone FaultLoad (mandatory) AND LockoutSwitches are locked out (mandatory for restoration) AND OpenSwitches are open (optional) AND CloseSwitches are closed (optional) FOR TimeDelay seconds THEN Open/Close/Lockout OprSwitch
  • SW 6 or SW 5 for the power restoration is left to the user to decide when the logic is generated for the base network state.
  • Two power restoration paths are provided, one from “Alt Tie SW” (alternative tie switch) SW 5 and the other from “Alt Tie SW” SW 6 .
  • the user must select the preferred path to restore the power, or optionally, a default path may be automatically selected.
  • FIG. 5 Also shown in FIG. 5 are the restoration logic preferences for a fault at location L 4 .
  • two switches SW 3 /SW 4
  • tie switches SW 5 /SW 6
  • a user may uncheck one or both of the two paths to prevent power restoration to a particular load zone.
  • the isolation logic When the fault is in a load zone adjacent to a tie switch, the isolation logic to lockout that tie switch is unnecessary, but all other switches connected to the faulted load zone must be locked out for fault isolation.
  • the isolation logic includes:
  • none of the source paths can restore the power to the unserved load zones after fault isolation.
  • This problem is a typical multi-source, multi-load zone power distribution planning problem. Many different optimization algorithms may be applied to find the optimal solution.
  • the present invention may employ a look-ahead tracing algorithm according to the following steps:
  • logic Fault 1 Res 1 may be replaced with the following three logics to restore power from both available paths instead of one.
  • the user may customize the logic to have any preferences taken into account.
  • the effect of these changes may be viewed and validated visually through simulation.
  • a next step 106 the logic is validated for each base network state via simulation.
  • visual simulation is an effective method.
  • the present invention provides a simulation tool that conducts “Single Run” and “Multiple Runs” of the logic operation.
  • the user may pause and continue with the simulation, or stop the simulation.
  • the major events such as the fault introduced time, recloser lockout time, and isolation/restoration switch operation time may be logged for examination after the simulation.
  • a next step 108 the network model, base network states and their associated power restoration logics are saved to a configuration file, and copied to the controllers 13 , or passed to the controllers 13 via remote method calls.
  • the parameters for the dynamic power restoration logic generation are set.
  • the power restoration controllers 13 are started in the appropriate base network state.
  • the operator may manually switch the network to selected base network state, or may set the controllers 13 to identify the network states on their own.
  • the controllers 13 open and parse the configuration files, setup the network model and the logic, and begin polling or listening to the IEDs.
  • the power restoration logic may be loaded automatically into the logic processor of the controller 13 .
  • the logic processor thereafter monitors if any fault occurs in one of the predefined load zones, and executes the subsequent fault isolation and power restoration procedures defined by the logic for that particular load zone.
  • the power restoration control operations are secondary to the protection and control functionality of the IEDs 14 .
  • the power restoration controllers do not take action until after a recloser has tripped, reclosed and locked out upon a fault.
  • the controllers 13 identify a permanent fault only when a recloser has exhausted its predefined number of reclosing operations and locked out.
  • the controllers 13 identify the fault location (load zone) by checking the event registers of the IEDs 14 attached to the switches. The latter requires the time synchronization of the IEDs 14 , which is realized by sending time synchronizing commands from the controllers 13 to the IEDs.
  • the radial feeder network must be traced from the source to the downstream load zones to locate the faulty load zone.
  • the power restoration logic for a subsequent fault or a network state other than one of the base network states are generated by the dynamic power restoration logic generation engine, as will be hereinafter described in greater detail. It should also be appreciated that an operator may change the base network state, based on the loading conditions. The power restoration logic for the new base network state would thereafter be automatically loaded into the controllers.
  • Dynamic power restoration logic may be needed when the network is not in an identified base network state or if a second permanent fault occurs.
  • the dynamic power restoration logic includes the logic generated “on-the-fly.” In other words, the dynamic power restoration logic is generated while the power restoration controllers 13 are in operation.
  • the logic generation process and format are similar to that of the single fault, and the primary difference lies in the way the user preferences are considered.
  • PF preference factor
  • PT preference table
  • AltPriority( i ) AltPathPriority( i )*PF+AvailCapacityFactor( i )*(1 + ⁇ PF) 1 ⁇ i ⁇ M (Eq. 1)
  • AvailCapacityFactor(i) is the post-restoration available capacity reservation factor of the corresponding alternative power restoration path.
  • AvailCapacityFactor( i ) (Capacity ⁇ TotalLoad)/Capacity (Eq. 2)
  • Capacity is the source capacity of the alternative power restoration path i
  • TotalLoad is the total load of this source after the restoration.
  • Generation of the restoration logic is based upon a connectivity matrix, also known as incidence or topology matrix.
  • a connectivity matrix also known as incidence or topology matrix.
  • the rows and columns of this matrix correspond to the switches and buses (loads and sources) respectively.
  • the rows and columns are labeled with the corresponding switch and bus names for clarity.
  • Columns of this matrix are arranged such that the columns corresponding to load buses are first, followed by those corresponding to source buses. To observe this, the matrix above is partitioned into two column groups. The first group corresponds to load buses and the second group corresponds source buses.
  • the upstream and downstream bus information for each switch is also stored in this matrix.
  • the elements on any row are either +1 or ⁇ 1.
  • the element +1 denotes the upstream bus position and ⁇ 1 denotes the downstream bus position.
  • the first row (switch Brk 1 ) includes a ⁇ 1 element in the L 1 column and a +1 in the S 1 column.
  • bus S 1 is an upstream bus of Brk 1 while L 1 is the downstream bus.
  • the upstream and downstream bus cannot be defined, thus +1 and ⁇ 1 elements are arbitrarily placed at the columns corresponding to the terminal buses of an NO tie switch. See, for example, the rows corresponding to switches SW 5 and SW 6 .
  • the logic generation procedure requires the status information of all the switches in the network (i.e. whether a switch is open or closed). This information is stored in a vector having 0's (open switches) and 1's (closed switches). For the system under consideration (shown in FIG. 5 ), this vector includes 8 elements, with the 3 rd and 7 th elements corresponding to SW 6 and SW 5 . The 3 rd and 7 th elements are set as 0 and all other elements as 1 .
  • the connectivity matrix and the switch status vector are used in the logic generation algorithm to isolate a permanent fault and locate tie switches to provide backfeed to unserved loads.
  • the fault isolation logic generation algorithm identifies the fault isolating switch as the one that is immediately downstream of the fault. If there are multiple such switches, the algorithm identifies them all. This identification is done by tracing the connectivity matrix. For example, if a permanent fault occurs at L 4 , the recloser switch Brk 2 locks out after its reclosing sequence. Now the algorithm goes through the following steps to identify the fault isolating switches.
  • SW 2 clears the fault (fault clearing switch) and switches SW 6 and SW 1 are identified as fault isolating switches.
  • SW 6 is a NO tie switch
  • the algorithm will regard only SW 1 as a fault isolating switch.
  • the un-served load due to the opening of SW 3 is L 6 (100 MW).
  • the un-served load due to the opening of SW 4 is L 5 (100 MW).
  • This information is displayed to the user in the logic generation table in the column labeled “Unserved Load”.
  • the identification process for the appropriate backfeed to restore such unserved loads starts with first identifying the NO tie switches that can be closed to provide that backfeed from an alternate source. Note that for the present example, the alternate source is S 1 (displayed in column “Alt Source”—where “Alt” means “Alternative”).
  • the logic generation algorithm employs a recursive method to identify relevant NO tie switches.
  • the initial switch variable is set to the fault isolating switch.
  • the downstream bus connected to the initial switch is identified.
  • the downstream switch connected to the initial switch (identified at 202 ) is identified.
  • a capacity check may be performed next to check whether the alternative source has sufficient capacity to serve the un-served load.
  • the above tie-switch identification method would identify switches SW 5 and SW 6 .
  • the capacity check for this example includes a recursive process that computes the switch currents after the identified tie switch is closed (one at a time) to test if the switches have sufficient loading capacity to carry the computed switch currents. Similarly this process also computes the total current that would be supplied by the alternative source (S 1 ) after backfeed to test if the source has sufficient capacity to supply that current.
  • SRBR source reserve before restoration
  • SRAR source reserve after restoration
  • the restoration logic construction process engages.
  • the safe guard measures for the restoration for example the requirement that the isolation switch be opened first before the restoration tie switch is closed, is considered. As one of the conditions of the close logic of the tie-switch, the open status of the isolation switch must be satisfied.
  • These safe guard measures can also be viewed as the sequence of the switch operations.
  • the above logic generation process applies to both offline custom logic generation ( 104 in FIG. 2 ) and online dynamic logic generation.
  • the offline custom logic generation is for a given (predefined) network state, called the base network state.
  • the base network state In this process, an individual fault is assumed at each load bus, and for each case the logic generation identifies a set of fault isolation switches and feasible back-feed scenarios (that successfully pass the capacity check).
  • a table is shown ( FIG. 5 ) that provides options to the user to select a back-feed path if multiple feasible back-feed paths exist for a given isolation switch. This encourages user interaction and takes into account user expertise and preferences.
  • the user can define multiple base network states and generate restoration logics for each.
  • the dynamic power restoration logic generation is designed and implemented.
  • the dynamic logic is generated “on-the-fly” when a fault occurs in the network.
  • the logic generation process and format are structurally similar to that of the offline custom logic generation process. The difference lies in that the logic is generated for a specific identified fault that already occurred in the network, rather than considering all possible fault locations.
  • the user preferences such as priority settings of an alternative restoration path and load balancing of alternative sources are considered dynamically using the parameters that the user sets offline.
  • the dynamic process is particularly useful to handle multiple sequential faults, where a fault occurs in the system and it is isolated and all or part of the unserved loads are restored, and then another fault occurs in the network.
  • the dynamic logic generation algorithm will automatically generate the required logics for this second fault, and any new faults.
  • FIG. 10 a second exemplary distribution system is shown.
  • This system includes four substations (S 1 ⁇ S 4 ), twelve switches (R 1 ⁇ R 12 , for illustrative purposes, all switches are assumed to have fault current breaking capability), nine loads (L 1 ⁇ L 9 ), all of which are connected through feeder circuits.
  • Switches R 4 , R 9 , and R 12 are normally open tie-switches (where R 9 and R 12 are circuit breakers in this case for illustrative purposes only, normally circuit breakers at the substation do not serve as tie switches) that maintain the radial feeder configuration in the system, all other switches are normally closed switches to transfer electric power from substations to loads along feeder circuits.
  • each switch in the system is associated with an IED for the monitoring and protection purpose.
  • IEDs may communicate with a feeder automation controller located, for example, in a substation.
  • switch R 3 which is the closest upstream switch to this fault location, senses the fault current, and based on the predefined protective setting, controls switch R 3 to open. If switch R 3 is a recloser, a reclosing sequence will follow the initial switch open operation, i.e., the IED will control switch R 3 to reclose and open for several times. After the reclosing sequence finishes, if the IED continues to sense the fault current, a permanent fault is recognized and switch R 3 is set to lockout (open) status. Note that the open, reclosing, and lockout sequence of switch R 3 is implemented by the associated IED automatically without the control from the master controller.
  • the feeder automation procedure identifies fault location, isolates the faulty feeder section, and restores loads connected to the downstream healthy section from alternative substations.
  • the master controller based on the lockout information of switch R 3 , the master controller identifies the fault location, which is the feeder section between the lockout switch R 3 and its downstream switches R 6 and R 10 .
  • the isolation algorithm in the master controller determines that two downstream switches R 6 and R 10 are isolation switches and sends open switch commands to the IEDs associated with the two downstream switches.
  • the load restoration algorithm in the master controller is executed to generate restoration solutions based on the post-fault system configuration and capacity constraints of substations, feeders, and switches: (1) substation 3 restores loads L 5 and L 6 by closing switch R 3 and (2) substation 4 restores loads L 8 and L 9 by closing switch R 12 .
  • the fault location identification and the fault isolation are relatively easy to achieve in the manner discussed above, while the search for a load restoration solution can become very complex, depending on the distribution system configuration and capacity constraints of various devices such as substations, feeders, and switches. For example, some network configurations have no single-path restoration solution available and multiple alternative substation-feeder paths for restoration have to be considered.
  • the present invention provides a multi-path load restoration solution to automatically restore as much load as possible after the occurrence and isolation of faults in electric power distribution systems.
  • the restoration logic generation method of the present invention searches for a single-path restoration strategy first. If no feasible single-path restoration strategy exists, the method then identifies appropriate switches that may be opened to separate the isolated load area into two or more sub-networks, so that the un-served loads inside each sub-network may be restored from an appropriate back-feed path. If a particular restoration strategy actuates a number of network separation switches, no attempt is made to find a strategy with more network separation switches. In this manner, the number of switch operations is minimized. Moreover, a load balancing (of power restoration paths) algorithm may be applied when more than one path is required to restore power.
  • the flow chart of this multi-path load restoration algorithm is shown in FIG. 11 .
  • the restoration procedure begins after isolation switches are opened to complete the fault isolation step.
  • fault isolation is completed according to the connectivity matrix method described above.
  • a first step 300 each isolation switch SWiso [i] is identified.
  • the algorithm of the present invention is recursive and thus, for each isolation switch, the algorithm of FIG. 11 is repeated, beginning at 302 .
  • the restoration algorithm searches downstream for a first multi-connection load node (hereinafter “Lmc”).
  • An Lmc is a load node that connects to more than one downstream switch.
  • the algorithm determines whether one or more single substation-feeder restoration paths individually has sufficient capacity to restore all loads. If an individual pathway is available, at 312 , the substation-feeder path with the maximum restoration capacity is selected to restore all loads. The restoration algorithm then returns recursively to the next SWiso [ ].
  • the algorithm identifies the immediate downstream switches connected to the Lmc, and stores them in vector SWother [ ] at 316 .
  • the algorithm traces downstream from each SWother [ ] to identify closed switches, which are stored in vector SWs [ ]. The trace from each SWother [ ] continues until reaching a tie-switch or downstream second Lmc node.
  • the restoration algorithm determines whether the network can be divided into two sub-networks, in which un-served loads can be restored respectively.
  • the switch SWs [ ] when opened, separates the network into two sub-networks capable of being powered by individual sources, the switch SWs [ ] that best balances the loading levels of the restoration sources is selected at 322 . Thereafter, at 324 the system returns recursively to the next isolation switch at 302 .
  • step 320 If no switch is found that satisfies the criteria set forth in step 320 , then for each switch in SWother [ ], at 326 it is determined whether the number of its downstream tie-switches is greater than 1, which indicates that another Lmc node exists downstream. If the number of downstream tie-switches is greater than one for a particular SWother [ ], that SWother [j] is treated as an isolation switch SWiso at step 328 , and the algorithm starts begins from 302 recursively.
  • a switch SWs [ ] that does not have more than one downstream tie-switch this indicates that only one load restoration source is available for the particular isolated un-served load.
  • the corresponding tie-switch for this source is located at 304 . From the corresponding tie-switch, at step 306 loads are restored up to SWother [ ] depending upon the capacity of the source. If a capacity check fails, a new tie switch is opened to segregate the load that is beyond the capacity of the source. Thereafter, the algorithm recursively returns to the next SWother [ ] at 308 .
  • a set of switch operations is generated, which includes the list of switches that should be opened and closed.
  • the switch open/close operations result in a new system configuration that optimally restores the un-served loads from one or more substation-feeder paths.
  • FIG. 12 An exemplary distribution system is shown in FIG. 12 , which demonstrates the multi-path load restoration method.
  • This example distribution system includes five substations, thirteen switches, and nine loads.
  • the IEDs associated with the switches and master controller are not shown.
  • the capacities of substations and switches are represented with current magnitudes in terms of the unit Ampere (amp), and each load is represented with a constant current load model. For example, the maximum capacity of substation S 1 is 2000 amp, the maximum capacity of switch R 1 is 2000 amp, and the load amount of L 1 is 100 amp.
  • substation S 1 supplies power to all loads in the system.
  • Switches R 5 , R 8 , R 9 , and R 11 are normally open tie-switches that maintain the radial system configuration. If a permanent fault occurs at load node L 1 , switch R 1 is set to lockout open status after a reclosing sequence. Thereafter, switch R 2 opens to isolate the faulty section. Because of the lockout and isolation, loads L 2 -L 9 are unserved. In this distribution network, substations 2 - 5 (S 2 -S 5 ) are available to provide alternative power.
  • the restoration logic generation algorithm finds the isolation switch R 2 .
  • the Lmc lade node L 3
  • a search is performed for a single substation-feeder path that has sufficient capacity to restore all loads.
  • the total unserved load amount after the fault isolation is 950 amp (the sum of loads L 2 ⁇ L 9 )
  • each switch has a capacity limit of 2000 amp, which is greater than the total unserved load amount. Therefore, only the alternative substation capacities need be considered in selecting an appropriate restoration path.
  • All alternative substation sources i.e., S 2 : 500 amp, S 3 : 500 amp, S 4 : 700 am, S 5 : 400 amp
  • S 2 500 amp
  • S 3 500 amp
  • S 4 700 am
  • S 5 400 amp
  • the restoration logic generation algorithm searches the downstream switches (SWother) which are directly connected to L 3 , which include R 4 , R 6 , and R 12 , as well as all the downstream closed switches (SWs) from the Lmc (L 3 ) to a downstream tie-switch or a downstream Lmc, which include R 4 , R 6 , R 13 , and R 12 .
  • the four switches (SWs) if R 4 , R 6 , or R 12 is opened, the unserved loads in each generated subnetwork can not be restored completely. If switch R 13 is opened to separate the unserved load area into two subnetworks, each subnetwork can be restored. Therefore, switch R 13 is selected as the switch to be opened in the restoration solution.
  • FIG. 14 shows the subnetwork information created by opening different switches, including their maximum substation capacities, total unserved load amounts in their ranges, and whether unserved loads can be restored completely.
  • switch R 13 When switch R 13 is opened, the unserved loads (L 2 , L 3 , L 4 , and L 12 ) in the subnetwork on the left side (subnetwork 1 ) are restored by substation 4 (S 4 ) by closing switch R 11 , because substation 4 (S 4 ) has larger capacity than substation 2 (S 2 ) in the same subnework. For the same reason, the unserved loads in the subnetwork on the right side (subnetwork 2 ) are powered by substation 3 (S 3 ) by closing switch R 8 .
  • the switch open/close operation sequence as a result of the restoration algorithm is to open switch R 13 , and then close switches R 8 and R 11 .
  • the post-restoration system configuration is shown in FIG. 13 . This restoration sequence is then implemented by the power restoration controllers 13 to tell the IEDs 14 to control the operation of switches, and finally the post-restoration system configuration is reached.
  • FIG. 15 shows an alternate exemplary distribution system.
  • This example distribution system includes four substations, eleven switches, and eight loads.
  • the IEDs associated with the switches and master controller are not shown.
  • the capacities of substations and the loading capability of the switches are represented with current magnitudes in terms of the unit Ampere (amp), and each load is represented with a constant current load model. These quantities are shown below each substation, switch, and load.
  • Switches R 5 , R 9 , and R 11 are normally open tie-switches that maintain the radial system configuration. If a permanent fault occurs at load node L 1 , switch R 1 goes to a lockout open status after a reclosing sequence, and switch R 2 is instructed to open, thereby isolating the faulty section. This lockout and isolation leaves loads L 2 ⁇ L 8 unserved. In this distribution network, three other alternative sources (S 2 -S 4 ) exist.
  • the restoration logic generation algorithm searches for the first Lmc (i.e., load node L 3 ) located downstream of isolation switch R 2 .
  • Lmc load node L 3
  • the total unserved load amount after the fault isolation is 1200 amp (the sum of loads L 2 ⁇ L 8 )
  • each switch has a capacity limit of 2000 amp, which is greater than the total unserved load amount. Therefore, for capacity purposes, when selecting restoration paths in the present example, only the substation capacities need be considered. All alternative substation sources (i.e., S 2 : 500 amp, S 3 : 500 amp, S 4 : 400 amp) provide less capacity than the total load amount needed (1200 amp). Thus, no single substation-feeder path can restore all the unserved loads.
  • the restoration logic generation algorithm next determines which downstream switches (SWother) directly connect to L 3 , including R 4 and R 6 , and which closed switches (SWs) connect between Lmc (L 3 ) and a downstream tie-switch or Lmc (L 6 ), including R 4 , R 6 , and R 7 .
  • the algorithm determines that opening R 4 , R 6 , or R 7 will not separate the unserved network into two sub-networks for single-path restoration ( FIG. 16 ).
  • the restoration logic generation algorithm determines whether another Lmc exists (L 6 ), and if so, treats the SWother directly upstream (R 6 ) as an isolation (open) switch. By treating R 6 as an isolation switch the methods of the algorithm can be called recursively.
  • the concerned network includes R 7 -R 11 , L 5 -L 8 , and S 3 -S 4 . For exemplary purposes, this network is referred to as NtWrk 1 .
  • the restoration algorithm begins recursively, and determines that an Lmc (L 6 ) is downstream of the isolation switch. Next, it is determined that single-path restoration is infeasible because the total unserved load of NtWrk 1 is 800 amp and the maximum source capacity of S 3 and S 4 is 500 amp. Next, restoration logic generation algorithm determines which downstream switches (SWother) directly connect to L 6 , including R 8 and R 10 , and which closed switches (SWs) connect between Lmc (L 6 ) and a downstream tie-switch or Lmc, including R 8 and R 10 .
  • the algorithm determines that opening R 8 or R 10 will not separate the unserved network NtWrk 1 into two sub-networks for single-path restoration.
  • the restoration logic generation algorithm determines that no other Lmc exists. Because no other Lmc exists downstream of L 6 , the algorithm determines, from each SWother, the corresponding downstream tie switch. For R 8 , the corresponding tie switch is R 9 and for R 10 , the corresponding tie switch is R 11 . From tie switch R 9 , S 4 is capable of restoring up to L 7 , and thus R 9 is closed and R 8 is open. From tie switch R 11 , S 3 is capable of restoring up to L 6 , and thus R 11 is closed and R 7 is opened.
  • the algorithm deals with Lmc L 3 .
  • R 6 was set as an isolation switch because it connected to a downstream Lmc.
  • the remaining SWother of Lmc L 3 is R 4 .
  • the algorithm finds the corresponding downstream tie switch R 5 . From the corresponding tie switch R 5 , S 2 is capable of restoring up to L 2 , and thus R 5 is closed and R 2 (the original isolation switch) remains opened.
  • the remaining capacity is 100 amp, not enough to restore L 5 , so R 6 is set to open.
  • the present invention may be embodied as or take the form of the method and system previously described, as well as of a computer readable medium having computer-readable instructions stored thereon which, when executed by a processor, carry out the operations of the present invention.
  • the computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the user-interface program instruction for use by or in connection with the instruction execution system, apparatus, or device and may by way of example but without limitation, be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium or other suitable medium upon which the program is printed.
  • a portable computer diskette a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a transmission media such as those supporting the Internet or an intranet, or a magnetic storage device.
  • Computer program code or instructions for carrying out operations of the present invention may be written in any suitable programming language provided it allows achieving the previously described technical results.

Abstract

A method and system restores power in a power distribution network. The network includes a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, and an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices. A base network state is defined and a power restoration logic is created for the base network state. A simulation is run for the power restoration logic and then the power restoration logic is transmitted to a power restoration controller which thereafter monitors and controls the intelligent electronic devices.

Description

    FIELD OF INVENTION
  • This invention relates to the field of restoring electric power to a distribution system after circuit abnormalities.
  • BACKGROUND
  • An electric power distribution system generally consists of a set of distribution substations, feeders, switches (circuit breakers, reclosers, etc.) electrical loads, and monitoring and control devices. A distribution system delivers electric power energy (i.e., electricity) from distribution substations via feeders and switches to electrical loads (customers) that connect to feeders. Feeders in a distribution system are usually configured in a radial type to make sure that each load is supplied by only one distribution substation (source) via one feeder at any instant. To maintain the radial configuration, each feeder is linked by a normally open tie-switch to its neighboring feeders. The feeder section that is relatively near/far to its source is referred to as upstream/downstream section, while comparing to the feeder section that is relatively far/near to its source. A switch in the distribution system may be associated with an intelligent electronic device (IED) that have the following monitoring and control functions: (1) measuring and recording electrical and other types of switch related quantities, such as voltage, current, reclosing times (2) monitoring the switch status, (3) operating the switch between open or close, and (4) communicating information with master devices.
  • Distribution system reliability can be greatly improved through the use of feeder automation technology that implements automatic fault detection, isolation, and load restoration. In such systems, IEDs associated with switches monitor the distribution system and communicate the corresponding information to the feeder automation master controllers located in substations. If a fault occurs in the distribution system, the master controller identifies the fault location, generates fault isolation and service restoration solutions in terms of a sequence of switch operations, and sends switching commands to IEDs to control corresponding switches. Such prior art systems are often difficult to program/configure/engineer, slow to respond to changing network conditions, and hard to optimize the restoration solutions. Thus, there is a need in the art for improved feeder automation systems.
  • SUMMARY OF THE INVENTION
  • According to one embodiment, a method of restoring power in a power distribution network is disclosed. The power distribution network includes a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices. The method includes providing at least one power restoration controller in communication with the intelligent electronic devices, defining at least one base network state, creating power restoration logic for the at least one base network state, simulating the power restoration logic for the at least one base network state, and transmitting the power restoration logic to the at least one power restoration controller which thereafter monitors and controls the intelligent electronic devices.
  • According to another embodiment of the present invention, a method of restoring power in a power distribution network is provided. The power distribution network includes a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices, and a power restoration controller in communication with the intelligent electronic devices. The method includes isolating the loading zone that is in a faulted state, identifying one or more un-served load networks including loading zones downstream from the loading zone in a faulted state, restoring power to each un-served load network from a single power source, opening the switch or switches that separate each un-served load network into two or more sub-networks if no single power source is capable of restoring power to the un-served load network, and restoring power to each of the sub-networks from a single power source, until the source capacity is exhausted or switch loading capacity is violated.
  • DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is an exemplary power network according to the present invention.
  • FIG. 2 is a flowchart showing the restoration logic generation creation, validation, installation and execution process, according to the present invention
  • FIG. 3 is a screen shot of the network configuration tool according to the present invention.
  • FIG. 4 is a screen shot of the network state and restoration logic definition tool according to the present invention.
  • FIG. 5 is a screen shot of the network state and restoration logic definition tool displaying to the user the potential restoration network paths for selection.
  • FIG. 6 is a screen shot of a window for modifying and viewing the restoration logic.
  • FIG. 7 is a screen shot of the simulation tool for the predefined logics according to the present invention.
  • FIG. 8 is a screen shot of the logic processor operation log according to the present invention.
  • FIG. 9 shows the logic generation algorithm according to the present invention that identifies normally open tie-switches.
  • FIG. 10 is a second exemplary power network according to the present invention.
  • FIG. 11 shows the multi-path load restoration algorithm according to the present invention.
  • FIG. 12 shows a third exemplary power network according to the present invention.
  • FIG. 13 shows the third exemplary power network of FIG. 12 with a simulated fault at load node L1 and the post-restoration network status.
  • FIG. 14 shows a table for determining whether un-served loads of FIG. 12 (when a fault is at load node L1) can be restored in each subnetwork.
  • FIG. 15 shows a fourth exemplary power network according to the present invention.
  • FIG. 16 shows a table for determining whether un-served loads of FIG. 15 (when a fault is at load node L1) can be restored in each subnetwork.
  • FIG. 17 shows the fourth exemplary power network of FIG. 15 after load restoration for a fault at load node L1.
  • DETAILED DESCRIPTION OF THE INVENTION
  • Referring now to FIG. 1, an electric power network is shown and generally indicated by the numeral 10. Generally, the feeder automation infrastructure 11 is the control mechanism, and the engineering station 12 is the location where the control logic is generated, customized, and transferred over to the power restoration controllers 13.
  • Briefly, electric power restoration involves the interplay between a plurality of power sources (S1/S2), plural switching devices (Brk1/Brk2 are circuit breakers, SW1/SW2/SW4//SW6 are either reclosers or sectionalizers, SW3/SW5 are tie switches), and a plurality of loading zones (L1/L2/L3/L4/L5/L6). An exemplary scenario, may be the occurrence of a permanent fault at L1, wherein Brk1 locks out after a predefined number of reclosing attempts. First, the system must isolate the faulty load zone L1 and second, attempt to restore the power to the load zones (L2, L3 and L6) that are unserved due to the lockout and isolation. The objective is to minimize the number of switch operations and/or achieve the optimally balanced loading between alternative restoration sources (if two or more).
  • Feeder automation infrastructure 11 includes the IEDs 14, the power restoration controllers 13, and communication links 15 between IEDs 14 and controllers 13. Multiple controllers 13 may be required because each has finite processing power, and each has direct communication links to a finite number of IEDs 14. Controllers 13 may coordinate with each other to form a super controller. Further description of configurations are provided in co-owned U.S. application Ser. No. 11/687,213, which is hereby incorporated by reference in its entirety. According to one embodiment, the methods and system according to the present invention develops the control logic for the super controller.
  • The system and software that embody the present invention may advantageously reside at an off-line engineering station 12. After the control logic and their associated settings are engineered, they may be transmitted to power restoration controllers 13 for real-time control operations.
  • The logic engineering and application process will now be described with reference to FIG. 2. In a first step 100, the electric power system (network) is configured. This includes modeling the electric power network 10 (control object), as well as the feeder automation infrastructure 11 (IEDs and the controllers). This is done via the network configuration tool 16 shown in FIG. 3, where the electric power network components and their connectivity are shown.
  • The electric power network model is an electrically correct topological model, and not a geographically faithful representation of the physical network. The electrical topology is used to reduce the configuration efforts by users. However, the basic electrical parameters of the system components are used by the present invention. Parameters may include loading capacity of sources (S1 and S2), switches (SW1-SW6) and the feeder segments, maximum loading of load zones (L1-L6), and the impedances of the feeder segments. This information allows the system to perform loading capacity checks and other restoration validation checks during logic generation.
  • The current network configuration may be validated at any time to prevent configuration errors. The results may be shown to the user so that action may be taken to resolve the issues. Network configuration validation may check for un-served loads, non-radial feeding and loading capacity violations.
  • Concurrently, IEDs 14 are configured and attached to the sources (S1, S2) and switching devices (SW1-SW6) in the electric power network 10. The IEDs 14 provide inputs to the controllers 13 and execute control actions through the switches (SW1-SW6). Each IED 14 is assigned to a controller 13, and thus is configured to be in direct communication with that respective controller 13. The communication may be through wireless or wired means. The controller 13 may poll or listen to associated IEDs 14 for data updates through a communication mechanism.
  • In a next step 102, the base electric network states are defined. A network state is a particular network topology, or tie breaker location, coupled with loading capacity of sources. The reason for this definition is that asset management objectives, such as load balancing of transformers, can be achieved by switching the network to different states, depending on the season and/or loading conditions of the power network.
  • If, for example, load zone L2 and L6 are mainly air conditioning loads, and can vary between 100 Å and 300 Å in summer, the loadings of S1 and S2 are unbalanced. The utility is better off using SW5 and SW6 as tie switches in this summer time-frame (to keep comfortable reserving capacity at both S1 and S2, and to avoid excessive wearing of insulation at source transformer S1). The current tie switch assignment (SW3 and SW5) may then be used in winter time. Thus, the user may define unique network states, one (“SW6, SW5 as tie”) for summer and another (“SW3,SW5 as tie”) for winter. This may be done via the network state and restoration logic definition tool 17 shown in FIG. 4. The network shown is the base network state “SW5,SW6 as tie” (the network shown in FIG. 1 corresponds to base network state “SW3,SW5 as tie”). When a new base network state is defined, the network validation principles discussed above may be applied to each defined base network state.
  • In a next step 104, the power restoration logic for each base network state is designed. The power restoration logic design according to step 104 is for a single permanent fault in a particular base network state. The objective of power restoration logic is to isolate a single permanent fault and restore power to non-faulted load zones. The design of the logic involves two steps. First, for a given base network state, power restoration logic is generated automatically, for a simulated permanent fault at each load zone. Next, the user views and modifies the logic as needed.
  • Automated logic generation not only avoids mistakes often made in manual logic generation process, it also greatly improves the speed of logic design. Capacity checks and other network validation checks may also be conducted to make sure the network state, after power restoration, functions properly.
  • According to one embodiment, the textual representation of logic is:
  • IF
     LockoutOnFaultRecloser is locked out on fault at load zone
    FaultLoad (mandatory)
     AND LockoutSwitches are locked out (mandatory for restoration)
     AND OpenSwitches are open (optional)
     AND CloseSwitches are closed (optional)
     FOR TimeDelay seconds
    THEN
     Open/Close/Lockout OprSwitch
  • Where
      • LockoutOnFaultRecloser represents a recloser or a circuit breaker with reclosing functionality that locked out upon sensing a downstream fault condition and running through the reclosing sequence of operations.
      • LockoutSwitches represents one or more switches (sectionalizers) that locked out after the fault isolation switching operations (to ensure the safety of repair crews).
      • OpenSwitches and CloseSwitches represent one or more switches (reclosers, sectionalizer, and/or tie switches) that are open or closed, respectively. These are optional conditions to ensure the interim network states (between pre-fault and post-restoration) are changed in a sequence of switch operations. Preferably, all switches other than the LockoutOnFaultRecloser and LockoutSwitches should be included in either the OpenSwitches or the CloseSwitches. However, the user can choose to delete any of these switches if he/she is sure the deletion will not affect the integrity of the power restoration logic operation sequence.
      • TimeDelay represents a user added time delay before any switch operation is executed after all the switch position conditions are met. This ensures sufficient time for switching operations to complete and for fail out management if any switch fails to operate, or there are lost communications or other exceptions in the restoration process.
      • OprSwitch is the switch to operate (open/close/lockout) when the switch position conditions are met and the TimeDelay has elapsed.
        The logic representation above integrates both the fault isolation logic and the power restoration logic, as well as the preference of users.
  • Referring again to FIG. 4, assume Brk1 and Brk2 are breakers with reclosing functionality, and all the other switches are sectionalizers or tie switches. When load zone L1 is under a single permanent fault, the isolation logic is FaultL1Iso:
  • IF
     Brk1 is locked out on fault at fault in load zone L1
     AND SW2 is closed
     For 2 seconds
    THEN
     Lockout SW2

    And the simplified restoration logic (no optional conditions of open/close switches) is FaultL1Res1:
  • IF
     Brk1 is locked out on fault at fault in load zone L1
     AND SW2 is locked out
     For 2 seconds
    THEN
     Close SW6
  • Or FaultL1Res2:
  • IF
     Brk1 is locked out on fault at fault in load zone L1
     AND SW2 is locked out
     For 2 seconds
    THEN
     Close SW5
  • As shown in FIG. 5, the use of SW6 or SW5 for the power restoration is left to the user to decide when the logic is generated for the base network state. Two power restoration paths are provided, one from “Alt Tie SW” (alternative tie switch) SW5 and the other from “Alt Tie SW” SW6. The user must select the preferred path to restore the power, or optionally, a default path may be automatically selected.
  • Also shown in FIG. 5 are the restoration logic preferences for a fault at location L4. In this case, two switches (SW3/SW4) must be locked out for fault isolation. As a result, tie switches (SW5/SW6) must close to restore the power to load zone L5 and L6 respectively. Though both should be selected to restore power to both L5 and L6, a user may uncheck one or both of the two paths to prevent power restoration to a particular load zone.
  • When the fault is in a load zone adjacent to a tie switch, the isolation logic to lockout that tie switch is unnecessary, but all other switches connected to the faulted load zone must be locked out for fault isolation. For example, when a fault is in load zone L3 (see FIG. 4), the isolation logic includes:
  • FaultL3Iso1:
  • IF
     Brk1 is locked out on fault at fault in load zone L3
     AND SW2 is closed
     For 2 seconds
    THEN
     Lockout SW2
  • And FaultL3Iso2:
  • IF
     Brk1 is locked out on fault at fault in load zone L3
     AND SW1 is closed
     For 2 seconds
    THEN
     Lockout SW1

    And the simplified restoration logic (no optional conditions of open/close switches) is FaultL3Res1:
  • IF
     Brk1 is locked out on fault at fault in load zone L3
     AND SW1 is locked out
     For 2 seconds
    THEN
     Close SW5
  • And FaultL3Res2:
  • IF
     Brk1 is locked out on fault at fault in load zone L3
     AND SW1 is locked out
     AND SW2 is locked out
     AND SW6 is open
     For 2 seconds
    THEN
     Close Brk1
  • In some instances, none of the source paths can restore the power to the unserved load zones after fault isolation. This problem is a typical multi-source, multi-load zone power distribution planning problem. Many different optimization algorithms may be applied to find the optimal solution. According to one embodiment, the present invention may employ a look-ahead tracing algorithm according to the following steps:
      • (1) Create a study network with the un-served load zones after fault isolation (excluding the faulty load zone) and the tie switches as sources (capacity of the sources is taken as the lesser of, the remaining capacity available from the tie switch and the loading capability of the tie switch).
      • (2) Open all the switches in the network.
      • (3) Starting from each source and moving downstream, close one switch at a time, and compute the remaining available capacity by subtracting the load of the downstream load zone from the its current loading capacity. If the net result is negative, mark the switch as intended tie switch and stop, otherwise continue until a tie switch can be declared or a multi-source supplied load zone is reached.
      • (4) When all processes of (3) are stopped, check if a multi-source supplied load zone has been reached by more than one process. If so, mark the process with the maximum remaining capacity as the winning process, and mark all the switches connecting to this multi-source load zone and of the other processes as intended tie switches.
      • (5) Repeat (3) and (4) until all switches in the study network are exhausted.
        In still other embodiments, the present invention may employ multi-path restoration logic discussed in greater detail below.
  • Referring now to FIG. 6, after the logic is generated, it may be viewed and modified, for example, to simplify the restoration logics. The user can also add/remove logics. For example, he/she can replace logic Fault1Res1 with the following three logics to restore power from both available paths instead of one.
  • FaultL1UserRes1:
  • IF
     Brk1 is locked out on fault at fault in load zone L1
     AND SW2 is locked out
     For 2 seconds
    THEN
     Open SW1
  • FaultL1UserRes2:
  • IF
     Brk1 is locked out on fault at fault in load zone L1
     AND SW2 is locked out
     AND SW1 is open
     For 2 seconds
    THEN
     Close SW6
  • And FaultL1UserRes3:
  • IF
     Brk1 is locked out on fault at fault in load zone L1
     AND SW2 is locked out
     AND SW1 is open
     For 2 seconds
    THEN
     Close SW5
  • By this means, the user may customize the logic to have any preferences taken into account. The effect of these changes may be viewed and validated visually through simulation.
  • In a next step 106, the logic is validated for each base network state via simulation. For logic validation, visual simulation is an effective method. As shown in FIG. 7, the present invention provides a simulation tool that conducts “Single Run” and “Multiple Runs” of the logic operation. When the simulation is in progress, the user may pause and continue with the simulation, or stop the simulation. As shown in FIG. 8, the major events such as the fault introduced time, recloser lockout time, and isolation/restoration switch operation time may be logged for examination after the simulation.
  • In a next step 108, the network model, base network states and their associated power restoration logics are saved to a configuration file, and copied to the controllers 13, or passed to the controllers 13 via remote method calls.
  • In a next step 110, the parameters for the dynamic power restoration logic generation are set. In a next step 112, the power restoration controllers 13 are started in the appropriate base network state. The operator may manually switch the network to selected base network state, or may set the controllers 13 to identify the network states on their own. When the controllers 13 start, they open and parse the configuration files, setup the network model and the logic, and begin polling or listening to the IEDs. When the current network state matches one of the predefined base network states, the power restoration logic may be loaded automatically into the logic processor of the controller 13. The logic processor thereafter monitors if any fault occurs in one of the predefined load zones, and executes the subsequent fault isolation and power restoration procedures defined by the logic for that particular load zone.
  • The power restoration control operations are secondary to the protection and control functionality of the IEDs 14. In other words, the power restoration controllers do not take action until after a recloser has tripped, reclosed and locked out upon a fault. The controllers 13 identify a permanent fault only when a recloser has exhausted its predefined number of reclosing operations and locked out. The controllers 13 identify the fault location (load zone) by checking the event registers of the IEDs 14 attached to the switches. The latter requires the time synchronization of the IEDs 14, which is realized by sending time synchronizing commands from the controllers 13 to the IEDs. Also, the radial feeder network must be traced from the source to the downstream load zones to locate the faulty load zone.
  • The power restoration logic for a subsequent fault or a network state other than one of the base network states are generated by the dynamic power restoration logic generation engine, as will be hereinafter described in greater detail. It should also be appreciated that an operator may change the base network state, based on the loading conditions. The power restoration logic for the new base network state would thereafter be automatically loaded into the controllers.
  • Dynamic power restoration logic may be needed when the network is not in an identified base network state or if a second permanent fault occurs. The dynamic power restoration logic includes the logic generated “on-the-fly.” In other words, the dynamic power restoration logic is generated while the power restoration controllers 13 are in operation. The logic generation process and format are similar to that of the single fault, and the primary difference lies in the way the user preferences are considered.
  • For dynamic power restoration logic generation, the user defines a preference factor PF and a preference table PT, where 0≦PF≦1, and PT includes the following columns:
      • (1) BaseNetworkState—contains the name or index of a base network state;
      • (2) FaultyFeeder—contains the name or index of the feeder where the permanent fault occurs;
      • (3) AltPath—contains the name or index of an alternative power restoration path (tie switch);
      • (4) AltPathPriority—contains the priority settings (a value between 0 and 1) of an alternative power restoration path.
  • During the dynamic restoration logic generation process, if M number of alternative power restoration paths exist, the following priorities are computed:

  • AltPriority(i)=AltPathPriority(i)*PF+AvailCapacityFactor(i)*(1+−PF) 1≦i≦M  (Eq. 1)
  • Where i is the index of the possible alternative power restoration path, AvailCapacityFactor(i) is the post-restoration available capacity reservation factor of the corresponding alternative power restoration path.

  • AvailCapacityFactor(i)=(Capacity−TotalLoad)/Capacity  (Eq. 2)
  • Where Capacity is the source capacity of the alternative power restoration path i, and TotalLoad is the total load of this source after the restoration. Thus, the alternative power restoration source with the maximum AltPriority will be used to build the power restoration logic.
  • If PF=1, the priority computation of (Eq. 1) only considers the user preferences and the dynamic logic generation does the same. If PF=0, the priority computation of (Eq. 1) only considers the load balancing of sources.
  • Generation of the restoration logic is based upon a connectivity matrix, also known as incidence or topology matrix. When a user builds a network 10 using the configuration tool discussed above, the matrix is automatically generated. With reference again to FIG. 5, the exemplary connectivity matrix for this system is shown.
  • L 1 L 2 L 3 L 4 L 5 L 6 S 1 S 2 Brk 1 SW 2 SW 6 SW 3 Brk 2 SW 1 SW 5 SW 4 [ - 1 + 1 + 1 - 1 + 1 - 1 + 1 - 1 - 1 + 1 - 1 + 1 + 1 - 1 + 1 - 1 ] ( 1 )
  • The rows and columns of this matrix correspond to the switches and buses (loads and sources) respectively. The rows and columns are labeled with the corresponding switch and bus names for clarity. Columns of this matrix are arranged such that the columns corresponding to load buses are first, followed by those corresponding to source buses. To observe this, the matrix above is partitioned into two column groups. The first group corresponds to load buses and the second group corresponds source buses.
  • The upstream and downstream bus information for each switch is also stored in this matrix. The elements on any row are either +1 or −1. The element +1 denotes the upstream bus position and −1 denotes the downstream bus position. For example, the first row (switch Brk1) includes a −1 element in the L1 column and a +1 in the S1 column. Thus, bus S1 is an upstream bus of Brk1 while L1 is the downstream bus. Regarding the normally open (NO) tie switches, the upstream and downstream bus cannot be defined, thus +1 and −1 elements are arbitrarily placed at the columns corresponding to the terminal buses of an NO tie switch. See, for example, the rows corresponding to switches SW5 and SW6.
  • Apart from the connectivity matrix, the logic generation procedure requires the status information of all the switches in the network (i.e. whether a switch is open or closed). This information is stored in a vector having 0's (open switches) and 1's (closed switches). For the system under consideration (shown in FIG. 5), this vector includes 8 elements, with the 3rd and 7th elements corresponding to SW6 and SW5. The 3rd and 7th elements are set as 0 and all other elements as 1.
  • The connectivity matrix and the switch status vector are used in the logic generation algorithm to isolate a permanent fault and locate tie switches to provide backfeed to unserved loads.
  • The fault isolation logic generation algorithm identifies the fault isolating switch as the one that is immediately downstream of the fault. If there are multiple such switches, the algorithm identifies them all. This identification is done by tracing the connectivity matrix. For example, if a permanent fault occurs at L4, the recloser switch Brk2 locks out after its reclosing sequence. Now the algorithm goes through the following steps to identify the fault isolating switches.
    • 1. Identify the row corresponding to the locked-out switch (that is, the “Brk2” row).
    • 2. Find the location of −1 on this row (the “L4” column).
    • 3. Find the all row locations of +1 in the same column (the “SW3” and “SW4” rows).
    • 4. Set the switch corresponding to each +1 row to be open and locked-out to isolate the fault. These rows correspond to the immediately adjacent downstream switches.
  • With reference to the contingency table shown in FIG. 5, it can be seen that when the fault is at L4, switches SW3 and SW4 are identified as “Locked SW”, which stands for locked out switches after fault isolation.
  • As another example, if a permanent fault occurs at L3, SW2 clears the fault (fault clearing switch) and switches SW6 and SW1 are identified as fault isolating switches. However given that SW6 is a NO tie switch, the algorithm will regard only SW1 as a fault isolating switch.
  • Once the fault is cleared and the correct fault isolation switch(s) is identified, options must be sought for back-feed so that power to un-served loads is restored. Referring again to FIG. 5, for a fault at L4, for instance, the un-served load due to the opening of SW3 is L6 (100 MW). Similarly, the un-served load due to the opening of SW4 is L5 (100 MW). This information is displayed to the user in the logic generation table in the column labeled “Unserved Load”. The identification process for the appropriate backfeed to restore such unserved loads starts with first identifying the NO tie switches that can be closed to provide that backfeed from an alternate source. Note that for the present example, the alternate source is S1 (displayed in column “Alt Source”—where “Alt” means “Alternative”).
  • Referring now to FIG. 9, the logic generation algorithm employs a recursive method to identify relevant NO tie switches. In a first step 200, the initial switch variable is set to the fault isolating switch. At step 202, the downstream bus connected to the initial switch is identified. Next at 204, the downstream switch connected to the initial switch (identified at 202) is identified. At step 206, determine whether the switch identified at 204 is open. If yes, at 208 update the tie-switch list indicating that the switch identified at 204 is a tie-switch. If no, at 210 set the initial switch to the switch identified at 204 and revert to step 202.
  • A capacity check may be performed next to check whether the alternative source has sufficient capacity to serve the un-served load. In the example where a fault occurs at L4 and SW3/SW4 lock-out to isolate the fault, the above tie-switch identification method would identify switches SW5 and SW6. The capacity check for this example (fault at L4) includes a recursive process that computes the switch currents after the identified tie switch is closed (one at a time) to test if the switches have sufficient loading capacity to carry the computed switch currents. Similarly this process also computes the total current that would be supplied by the alternative source (S1) after backfeed to test if the source has sufficient capacity to supply that current. If a candidate backfeed survives the capacity check, it is considered as successful and displayed in the table in FIG. 5 for the user to see and select for actual restoration logic construction. The table also displays source reserve before restoration (SRBR) for S1, which is capacity of S1 (1000) minus the total load that it serves (100+200+100), which comes to 600. For the fault isolating switch SW3, the source reserve after restoration (SRAR) column displays 500 due to an extra 100 MW served by S1 on L6. A similar is true for the row corresponding to the fault isolating switch SW4.
  • When a tie switch, its corresponding source, and the network connections between them pass the capacity check, the restoration logic construction process engages. In this process, the safe guard measures for the restoration, for example the requirement that the isolation switch be opened first before the restoration tie switch is closed, is considered. As one of the conditions of the close logic of the tie-switch, the open status of the isolation switch must be satisfied. These safe guard measures can also be viewed as the sequence of the switch operations.
  • The above logic generation process applies to both offline custom logic generation (104 in FIG. 2) and online dynamic logic generation. The offline custom logic generation is for a given (predefined) network state, called the base network state. In this process, an individual fault is assumed at each load bus, and for each case the logic generation identifies a set of fault isolation switches and feasible back-feed scenarios (that successfully pass the capacity check). A table is shown (FIG. 5) that provides options to the user to select a back-feed path if multiple feasible back-feed paths exist for a given isolation switch. This encourages user interaction and takes into account user expertise and preferences. The user can define multiple base network states and generate restoration logics for each.
  • It is not desirable or feasible, however, for a user to consider all possible base network states and generate logic for each. Even for moderately complex distribution networks, the offline computation of logic requires consideration of large numbers of base network states. Moreover, if a network state changes for any reason to a different state (ex. execution of back-feed logic following a permanent fault), the logic generation engine must reinitialize to adapt to the changes.
  • To prepare the logic to cope with a new network state (possibly the one not considered in the offline custom logic generation process) at runtime, the dynamic power restoration logic generation is designed and implemented. The dynamic logic is generated “on-the-fly” when a fault occurs in the network. The logic generation process and format are structurally similar to that of the offline custom logic generation process. The difference lies in that the logic is generated for a specific identified fault that already occurred in the network, rather than considering all possible fault locations. The user preferences such as priority settings of an alternative restoration path and load balancing of alternative sources are considered dynamically using the parameters that the user sets offline. The dynamic process is particularly useful to handle multiple sequential faults, where a fault occurs in the system and it is isolated and all or part of the unserved loads are restored, and then another fault occurs in the network. The dynamic logic generation algorithm will automatically generate the required logics for this second fault, and any new faults.
  • Referring now to FIG. 10, a second exemplary distribution system is shown. This system includes four substations (S1˜S4), twelve switches (R1˜R12, for illustrative purposes, all switches are assumed to have fault current breaking capability), nine loads (L1˜L9), all of which are connected through feeder circuits. Switches R4, R9, and R12 are normally open tie-switches (where R9 and R12 are circuit breakers in this case for illustrative purposes only, normally circuit breakers at the substation do not serve as tie switches) that maintain the radial feeder configuration in the system, all other switches are normally closed switches to transfer electric power from substations to loads along feeder circuits. Though not shown in FIG. 10, each switch in the system is associated with an IED for the monitoring and protection purpose. As discussed above, IEDs may communicate with a feeder automation controller located, for example, in a substation.
  • To illustrate the feeder automation procedure of the present invention, assume a permanent fault occurs at load node L3. The IED associated with switch R3, which is the closest upstream switch to this fault location, senses the fault current, and based on the predefined protective setting, controls switch R3 to open. If switch R3 is a recloser, a reclosing sequence will follow the initial switch open operation, i.e., the IED will control switch R3 to reclose and open for several times. After the reclosing sequence finishes, if the IED continues to sense the fault current, a permanent fault is recognized and switch R3 is set to lockout (open) status. Note that the open, reclosing, and lockout sequence of switch R3 is implemented by the associated IED automatically without the control from the master controller.
  • After the master controller receives the lockout information of switch R3, the feeder automation procedure identifies fault location, isolates the faulty feeder section, and restores loads connected to the downstream healthy section from alternative substations. First, based on the lockout information of switch R3, the master controller identifies the fault location, which is the feeder section between the lockout switch R3 and its downstream switches R6 and R10. Next, derived from the fault location, the isolation algorithm in the master controller determines that two downstream switches R6 and R10 are isolation switches and sends open switch commands to the IEDs associated with the two downstream switches. Opening downstream switches R6 and R10 isolates the faulty feeder section and results in two un-served load areas including downstream loads L5, L6, L7, L8, and L9. Finally, the load restoration algorithm in the master controller is executed to generate restoration solutions based on the post-fault system configuration and capacity constraints of substations, feeders, and switches: (1) substation 3 restores loads L5 and L6 by closing switch R3 and (2) substation 4 restores loads L8 and L9 by closing switch R12.
  • In the feeder automation algorithm of the present invention, the fault location identification and the fault isolation are relatively easy to achieve in the manner discussed above, while the search for a load restoration solution can become very complex, depending on the distribution system configuration and capacity constraints of various devices such as substations, feeders, and switches. For example, some network configurations have no single-path restoration solution available and multiple alternative substation-feeder paths for restoration have to be considered.
  • The present invention provides a multi-path load restoration solution to automatically restore as much load as possible after the occurrence and isolation of faults in electric power distribution systems. Generally, for each isolated load area, the restoration logic generation method of the present invention searches for a single-path restoration strategy first. If no feasible single-path restoration strategy exists, the method then identifies appropriate switches that may be opened to separate the isolated load area into two or more sub-networks, so that the un-served loads inside each sub-network may be restored from an appropriate back-feed path. If a particular restoration strategy actuates a number of network separation switches, no attempt is made to find a strategy with more network separation switches. In this manner, the number of switch operations is minimized. Moreover, a load balancing (of power restoration paths) algorithm may be applied when more than one path is required to restore power.
  • The flow chart of this multi-path load restoration algorithm is shown in FIG. 11. The restoration procedure begins after isolation switches are opened to complete the fault isolation step. In one or more embodiments, fault isolation is completed according to the connectivity matrix method described above. In a first step 300, each isolation switch SWiso [i] is identified. As should be understood, the algorithm of the present invention is recursive and thus, for each isolation switch, the algorithm of FIG. 11 is repeated, beginning at 302. At step 302, for a given SWiso [i], the restoration algorithm searches downstream for a first multi-connection load node (hereinafter “Lmc”). An Lmc is a load node that connects to more than one downstream switch.
  • If no Lmc is found, this indicates that only one load restoration source is available for the particular isolated un-served load. The corresponding tie-switch for this source is located at 304. From the corresponding tie-switch, at step 306 loads are restored up to SWiso [i] depending upon the capacity of the source. If a capacity check fails, a new tie switch is opened to segregate the load that is beyond the capacity of the source. Thereafter, the algorithm recursively returns to the next SWiso [ ] at 308.
  • If an Lmc is located, at 310 the algorithm determines whether one or more single substation-feeder restoration paths individually has sufficient capacity to restore all loads. If an individual pathway is available, at 312, the substation-feeder path with the maximum restoration capacity is selected to restore all loads. The restoration algorithm then returns recursively to the next SWiso [ ].
  • If no single path has sufficient capacity, the algorithm identifies the immediate downstream switches connected to the Lmc, and stores them in vector SWother [ ] at 316. At 318, the algorithm traces downstream from each SWother [ ] to identify closed switches, which are stored in vector SWs [ ]. The trace from each SWother [ ] continues until reaching a tie-switch or downstream second Lmc node. At 320, by simulating the opening of each switch SWs [ ], the restoration algorithm determines whether the network can be divided into two sub-networks, in which un-served loads can be restored respectively. If any of the switches SWs [ ], when opened, separates the network into two sub-networks capable of being powered by individual sources, the switch SWs [ ] that best balances the loading levels of the restoration sources is selected at 322. Thereafter, at 324 the system returns recursively to the next isolation switch at 302.
  • If no switch is found that satisfies the criteria set forth in step 320, then for each switch in SWother [ ], at 326 it is determined whether the number of its downstream tie-switches is greater than 1, which indicates that another Lmc node exists downstream. If the number of downstream tie-switches is greater than one for a particular SWother [ ], that SWother [j] is treated as an isolation switch SWiso at step 328, and the algorithm starts begins from 302 recursively.
  • If a switch SWs [ ] that does not have more than one downstream tie-switch, this indicates that only one load restoration source is available for the particular isolated un-served load. The corresponding tie-switch for this source is located at 304. From the corresponding tie-switch, at step 306 loads are restored up to SWother [ ] depending upon the capacity of the source. If a capacity check fails, a new tie switch is opened to segregate the load that is beyond the capacity of the source. Thereafter, the algorithm recursively returns to the next SWother [ ] at 308.
  • As a result of the multi-path restoration algorithm, a set of switch operations is generated, which includes the list of switches that should be opened and closed. The switch open/close operations result in a new system configuration that optimally restores the un-served loads from one or more substation-feeder paths.
  • An exemplary distribution system is shown in FIG. 12, which demonstrates the multi-path load restoration method. This example distribution system includes five substations, thirteen switches, and nine loads. The IEDs associated with the switches and master controller are not shown. The capacities of substations and switches are represented with current magnitudes in terms of the unit Ampere (amp), and each load is represented with a constant current load model. For example, the maximum capacity of substation S1 is 2000 amp, the maximum capacity of switch R1 is 2000 amp, and the load amount of L1 is 100 amp.
  • For simplicity, all switch capacities are larger than the substation capacities. Thus, the substation capacities are the major capacity constraints in selecting restoration paths. It should be appreciated that such assumptions are merely exemplary, and the capacity check of the present invention encompasses both capacity constraints and switch capacities. In addition, for purposes of the present example, it is presumed all other system operating constraints such as feeder power flows and the voltage drop along feeder circuits are within predefined ranges after system configuration changes.
  • As shown in FIG. 12, substation S1 supplies power to all loads in the system. Switches R5, R8, R9, and R11 are normally open tie-switches that maintain the radial system configuration. If a permanent fault occurs at load node L1, switch R1 is set to lockout open status after a reclosing sequence. Thereafter, switch R2 opens to isolate the faulty section. Because of the lockout and isolation, loads L2-L9 are unserved. In this distribution network, substations 2-5 (S2-S5) are available to provide alternative power.
  • Based on the restoration method of the present invention, the restoration logic generation algorithm finds the isolation switch R2. Next, from switch R2, the Lmc (lode node L3) located downstream is identified. Next, a search is performed for a single substation-feeder path that has sufficient capacity to restore all loads. In this particular system, the total unserved load amount after the fault isolation is 950 amp (the sum of loads L2˜L9), each switch has a capacity limit of 2000 amp, which is greater than the total unserved load amount. Therefore, only the alternative substation capacities need be considered in selecting an appropriate restoration path. All alternative substation sources (i.e., S2: 500 amp, S3: 500 amp, S4: 700 am, S5: 400 amp) are less than the total load amount of 950 amp. Thus, no single substation-feeder path can restore all the unserved loads.
  • Because no single restoration path can restore all loads, the restoration logic generation algorithm then searches the downstream switches (SWother) which are directly connected to L3, which include R4, R6, and R12, as well as all the downstream closed switches (SWs) from the Lmc (L3) to a downstream tie-switch or a downstream Lmc, which include R4, R6, R13, and R12. Among the four switches (SWs), if R4, R6, or R12 is opened, the unserved loads in each generated subnetwork can not be restored completely. If switch R13 is opened to separate the unserved load area into two subnetworks, each subnetwork can be restored. Therefore, switch R13 is selected as the switch to be opened in the restoration solution. FIG. 14 shows the subnetwork information created by opening different switches, including their maximum substation capacities, total unserved load amounts in their ranges, and whether unserved loads can be restored completely.
  • When switch R13 is opened, the unserved loads (L2, L3, L4, and L12) in the subnetwork on the left side (subnetwork 1) are restored by substation 4 (S4) by closing switch R11, because substation 4 (S4) has larger capacity than substation 2 (S2) in the same subnework. For the same reason, the unserved loads in the subnetwork on the right side (subnetwork 2) are powered by substation 3 (S3) by closing switch R8. The switch open/close operation sequence as a result of the restoration algorithm is to open switch R13, and then close switches R8 and R11. The post-restoration system configuration is shown in FIG. 13. This restoration sequence is then implemented by the power restoration controllers 13 to tell the IEDs 14 to control the operation of switches, and finally the post-restoration system configuration is reached.
  • To illustrate the more advanced feature of the multi-path load restoration logic generation algorithm, FIG. 15 shows an alternate exemplary distribution system. This example distribution system includes four substations, eleven switches, and eight loads. As discussed above, the IEDs associated with the switches and master controller are not shown. The capacities of substations and the loading capability of the switches are represented with current magnitudes in terms of the unit Ampere (amp), and each load is represented with a constant current load model. These quantities are shown below each substation, switch, and load.
  • For simplification purposes, all switch capacities are assumed to be far larger than the substation capacities so that the substation capacities are the major capacity constraints in selecting restoration paths. In addition, to simplify the restoration problem, it is assumed that all other system operating constraints such as feeder power flows and the voltage drop along feeder circuits are within predefined ranges after system configuration change.
  • Switches R5, R9, and R11 (ex. circuit breakers) are normally open tie-switches that maintain the radial system configuration. If a permanent fault occurs at load node L1, switch R1 goes to a lockout open status after a reclosing sequence, and switch R2 is instructed to open, thereby isolating the faulty section. This lockout and isolation leaves loads L2˜L8 unserved. In this distribution network, three other alternative sources (S2-S4) exist.
  • Based on the restoration method of the present invention, the restoration logic generation algorithm searches for the first Lmc (i.e., load node L3) located downstream of isolation switch R2. Next it determined whether any single substation-feeder path has sufficient capacity to restore all loads. In this particular system, the total unserved load amount after the fault isolation is 1200 amp (the sum of loads L2˜L8), each switch has a capacity limit of 2000 amp, which is greater than the total unserved load amount. Therefore, for capacity purposes, when selecting restoration paths in the present example, only the substation capacities need be considered. All alternative substation sources (i.e., S2: 500 amp, S3: 500 amp, S4: 400 amp) provide less capacity than the total load amount needed (1200 amp). Thus, no single substation-feeder path can restore all the unserved loads.
  • The restoration logic generation algorithm next determines which downstream switches (SWother) directly connect to L3, including R4 and R6, and which closed switches (SWs) connect between Lmc (L3) and a downstream tie-switch or Lmc (L6), including R4, R6, and R7.
  • Next the algorithm determines that opening R4, R6, or R7 will not separate the unserved network into two sub-networks for single-path restoration (FIG. 16). Next the restoration logic generation algorithm determines whether another Lmc exists (L6), and if so, treats the SWother directly upstream (R6) as an isolation (open) switch. By treating R6 as an isolation switch the methods of the algorithm can be called recursively. Now the concerned network includes R7-R11, L5-L8, and S3-S4. For exemplary purposes, this network is referred to as NtWrk1.
  • For NtWrk1, the restoration algorithm begins recursively, and determines that an Lmc (L6) is downstream of the isolation switch. Next, it is determined that single-path restoration is infeasible because the total unserved load of NtWrk1 is 800 amp and the maximum source capacity of S3 and S4 is 500 amp. Next, restoration logic generation algorithm determines which downstream switches (SWother) directly connect to L6, including R8 and R10, and which closed switches (SWs) connect between Lmc (L6) and a downstream tie-switch or Lmc, including R8 and R10.
  • Next the algorithm determines that opening R8 or R10 will not separate the unserved network NtWrk1 into two sub-networks for single-path restoration. Next the restoration logic generation algorithm determines that no other Lmc exists. Because no other Lmc exists downstream of L6, the algorithm determines, from each SWother, the corresponding downstream tie switch. For R8, the corresponding tie switch is R9 and for R10, the corresponding tie switch is R11. From tie switch R9, S4 is capable of restoring up to L7, and thus R9 is closed and R8 is open. From tie switch R11, S3 is capable of restoring up to L6, and thus R11 is closed and R7 is opened.
  • Now that NtWrk1 is configured, the algorithm deals with Lmc L3. As discussed above, from L3, R6 was set as an isolation switch because it connected to a downstream Lmc. The remaining SWother of Lmc L3 is R4. Because R4 includes no downstream Lmc, the algorithm finds the corresponding downstream tie switch R5. From the corresponding tie switch R5, S2 is capable of restoring up to L2, and thus R5 is closed and R2 (the original isolation switch) remains opened. The remaining capacity is 100 amp, not enough to restore L5, so R6 is set to open.
  • Overall, since no single-path restoration is feasible, the proposed algorithm will use the alternative sources strategically and restore as much load as possible. The resulting post-restoration system configuration is shown in FIG. 17.
  • The present invention may be embodied as or take the form of the method and system previously described, as well as of a computer readable medium having computer-readable instructions stored thereon which, when executed by a processor, carry out the operations of the present invention. The computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the user-interface program instruction for use by or in connection with the instruction execution system, apparatus, or device and may by way of example but without limitation, be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium or other suitable medium upon which the program is printed. More specific examples (a non-exhaustive list) of the computer-readable medium would include: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a transmission media such as those supporting the Internet or an intranet, or a magnetic storage device. Computer program code or instructions for carrying out operations of the present invention may be written in any suitable programming language provided it allows achieving the previously described technical results.
  • It is to be understood that the description of the foregoing exemplary embodiment(s) is (are) intended to be only illustrative, rather than exhaustive, of the present invention. Those of ordinary skill will be able to make certain additions, deletions, and/or modifications to the embodiment(s) of the disclosed subject matter without departing from the spirit of the invention or its scope, as defined by the appended claims.

Claims (21)

1. The method according to claim 18, comprising:
defining at least one base network state;
creating power restoration logic for said at least one base network state; and
transmitting the power restoration logic to the at least one power restoration controller which thereafter monitors and controls the intelligent electronic devices.
2. The method according to claim 1, wherein defining at least one base network state includes defining a plurality of base network states.
3. The method according to claim 2, wherein creating power restoration logic for a plurality of base network states includes, for each base network state, automatically generating power restoration logic for a simulated single permanent fault at each of the loading zones.
4. The method according to claim 3, comprising isolating a permanently faulted loading zone and implementing the restoration logic correlating to the permanent fault at the faulted loading zone.
5. The method according to claim 1, wherein defining at least one base network state includes defining loading capacity of the plurality of switching devices and the plurality of power sources and defining a network topology interrelating the plurality of switching devices and plurality of power sources.
6. The method according to claim 5, wherein the base network states are defined for a plurality of electric power usage patterns.
7. The method according to claim 6, wherein a first base network state is defined for summer electric power usage patterns and a second base network state is defined for winter electric power usage patterns.
8. The method according to claim 5, comprising validating that the at least one base network state does not violate radial load requirements or capacity constraints.
9. The method according to claim 1, wherein creating power restoration logic for each base network state comprises automatically generating the restoration logic, displaying the restoration logic to a user, and allowing the restoration logic to be modified by the user.
10. The method according to claim 1, wherein creating power restoration logic for each base network state comprises:
creating a study network of un-served loads after fault isolation;
simulating the opening of all switching devices in the network;
moving downstream from each of the simulated power sources and closing one switching device at a time;
computing the remaining available capacity, and if the remaining available capacity is inadequate, marking the last opened switching device as a tie-switch, otherwise, continuing until a tie-switch or multi-source loading zone is reached;
using the simulated power source with the maximum remaining available capacity for any multi-source supplied loading zone reached by more than one power source; and
marking all switching devices connected to the multi-source loading zone from power sources other than the power source having the maximum remaining available capacity as tie-switches.
11. The method according to claim 21, wherein simulating the power restoration logic comprises simulating a fault at each loading zone.
12. The method according to claim 11, wherein the simulation is visually displayed to a user.
13. The method according to claim 1, comprising generating and executing power restoration logic dynamically.
14. The method according to claim 13, wherein generating and executing power restoration logic dynamically comprises dynamically generating power restoration logic if a fault occurs when the power distribution network is not configured in the at least one base network state.
15. The method according to claim 14, wherein, when dynamically generating power restoration logic and more than one alternate source is available, choosing the source according to either predefined path user preferences or a capacity reservation factor.
16. The method according to claim 14, wherein,
when dynamically generating power restoration logic and more than one alternate source is available, choosing the source with the largest priority value, wherein the priority value is calculated according to:

AltPriority(i)=AltPathPriority(i)*PF+AvailCapacityFactor(i)*(1−PF);
where AvailCapacityFactor(i) is the post-restoration available capacity reservation factor of the corresponding alternative power restoration path i, and AltPathPriority(i) is a user defined priority setting of an alternative power restoration path (i), and PF is a user defined preference factor.
17. The method according to claim 16, wherein AvailCapacityFactor(i) is computed according to:

AvailCapacityFactor(i)=(Capacity−Total Load)/Capacity
where Capacity is the source capacity of the alternative power restoration path i, and TotalLoad is the total load of the source after the restoration.
18. A method of restoring power in a power distribution network having a plurality of power sources, a plurality of loading zones, a plurality of switching devices interconnected between the plurality of power sources and the plurality of loading zones, an intelligent electronic device associated with each of the plurality of switching devices to control the switching devices, and a power restoration controller in communication with the intelligent electronic devices, the method comprising:
isolating the loading zone that is in a faulted state;
identifying one or more un-served load networks including loading zones downstream from the loading zone in a faulted state;
restoring power to each un-served load network from a single power source;
opening the switching device or switching devices that separate each un-served load network into two or more sub-networks if no single power source is capable of restoring power to the un-served load network; and
restoring power to each of said sub-networks from a single power source, until the source capacity is exhausted or switching device loading capacity is violated.
19. The method according to claim 18, wherein opening the switching device or switching devices that separate each un-served load network comprises:
determining if more than one switch configuration is capable of separating the un-served load network to the two or more sub-networks;
selecting the switch configuration that best balances loads of the power sources restoring power to each sub-network.
20. The method according to claim 18, wherein opening the switching device or switching devices that separate each un-served load network comprises:
determining if more than one switch configuration is capable of separating the un-served load network to the two or more sub-networks;
selecting the switch configuration based on user defined preferences.
21. The method according to claim 1, comprising simulating the power restoration logic for said at least one base network state.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106684871A (en) * 2017-03-29 2017-05-17 华东交通大学 Intelligent distribution network self-healing control method based on fault-tolerant thought
CN111817353A (en) * 2020-08-10 2020-10-23 谭世克 Power distribution network equipment fault processing method
EP3817174A1 (en) * 2017-05-01 2021-05-05 ABB Power Grids Switzerland AG Nested microgrid control system
WO2022072570A1 (en) * 2020-10-01 2022-04-07 S&C Electric Company Radial restoration
US20220271534A1 (en) * 2021-02-25 2022-08-25 S&C Electric Company Efficient knowledge dissemination method for distribution automation with distributed controls
EP3413418B1 (en) * 2017-06-05 2023-03-08 ABB S.p.A. A computer-implemented method for configuring an electronic relay

Families Citing this family (73)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101911421B (en) * 2007-12-12 2015-05-06 Abb研究有限公司 Method for electric power rehabilitation in electric power distribution systems
US8068937B2 (en) * 2008-02-09 2011-11-29 Stephen Spencer Eaves Power distribution system with fault protection using energy packet confirmation
US8121741B2 (en) * 2008-05-09 2012-02-21 International Business Machines Corporation Intelligent monitoring of an electrical utility grid
US8180481B2 (en) * 2008-08-06 2012-05-15 Consolidated Edison Company Of New York, Inc. Autoloop system and method of operation
EP2194656B1 (en) * 2008-12-03 2014-06-25 ABB Research Ltd. Electrical power network management system
JP5618511B2 (en) * 2009-09-08 2014-11-05 株式会社東芝 Integrated monitoring and control system for smart grid and micro grid
US8838282B1 (en) * 2009-11-16 2014-09-16 Comverge, Inc. Method and system for providing a central controller that can communicate across heterogenous networks for reaching various energy load control devices
EP2507751B1 (en) * 2009-12-04 2021-07-14 ABB Power Grids Switzerland AG Restoration switching analysis with modified genetic algorithm
EP2507750B1 (en) * 2009-12-04 2020-04-29 ABB Schweiz AG Restoration switching analysis with genetic algorithm
MX342137B (en) * 2010-01-19 2016-09-14 S & C Electric Co Method and apparatus for control of a commodity distribution system.
US8706309B2 (en) * 2010-04-10 2014-04-22 Schweitzer Engineering Laboratories Inc Systems and method for obtaining a load model and related parameters based on load dynamics
WO2012057846A1 (en) 2010-10-29 2012-05-03 Abb Research Ltd. Dispatching mobile energy resources to respond to electric power grid conditions
US20120215479A1 (en) * 2011-02-21 2012-08-23 General Electric Company System for testing intelligent electronic devices
US9293920B2 (en) * 2011-03-30 2016-03-22 General Electric Company Systems and methods for synchronizing switching within a power distribution network
CN102184203B (en) * 2011-04-27 2014-11-19 中国电力科学研究院 Method for constructing network reconfiguration database
CN102185297B (en) * 2011-05-10 2014-12-03 中国电力科学研究院 Method for controlling system recovery based on network reconfiguration
US20120290103A1 (en) * 2011-05-11 2012-11-15 Quang Binh Dam Systems and methods for use in improving operation of utility equipment
CN102195279A (en) * 2011-05-16 2011-09-21 中国电力科学研究院 Typical fault reconstruction method capable of processing fault of power system
CN103620900B (en) 2011-06-20 2016-03-02 Abb研究有限公司 For the method and apparatus that the protection section in many busbar arrangement is selected
US20130024033A1 (en) * 2011-07-20 2013-01-24 General Electric Company Systems and methods for a power distribution transfer capacity calculator
US8914247B2 (en) * 2011-08-01 2014-12-16 General Electric Company Systems and methods to monitor the operation of a power generation system
US8725305B2 (en) 2011-08-29 2014-05-13 General Electric Company Power distribution network fault management
US20130066444A1 (en) * 2011-09-12 2013-03-14 Bogdan Cristian Popescu Systems and methods for use in responding to faults in a utility system
EP2575230B1 (en) 2011-09-30 2018-11-07 ABB Research Ltd. Systems and methods for integrating demand response with service restoration in an electric distribution system
US9698616B2 (en) 2011-10-31 2017-07-04 Abb Research Ltd. Systems and methods for restoring service within electrical power systems
WO2013068027A1 (en) * 2011-11-07 2013-05-16 Siemens Aktiengesellschaft Energy distribution network
CN102496937B (en) * 2011-11-28 2013-10-09 山东工商学院 Load balance based fault recovery method applied to intelligent distribution network
US20130158972A1 (en) * 2011-12-14 2013-06-20 Southern Company Services, Inc. Automated Recovery System Verification
CN202817896U (en) * 2012-05-23 2013-03-20 浙江省电力公司电力科学研究院 Feeder line automation system
CN102769338B (en) * 2012-07-20 2014-04-30 国家电网公司 Closed-loop operational control method for power distribution network
CN102882196B (en) * 2012-10-23 2014-12-10 江苏省电力公司扬州供电公司 Fault isolation method for distribution network containing distributed power sources
US9251298B2 (en) 2012-11-28 2016-02-02 Abb Technology Ag Electrical network model synchronization
CN102999674A (en) * 2012-12-05 2013-03-27 清华大学 Power and communication system coupling simulation platform and method based on application integration
CN103022994B (en) * 2012-12-10 2015-05-13 上海市电力公司 Method for achieving fault isolation and recovery of power distribution network with permeability distribution type power supply
CN103051059B (en) * 2012-12-13 2014-10-29 上海市电力公司 Feeder automation realizing method for residential area with smart distribution network
US9250674B2 (en) * 2013-01-18 2016-02-02 General Electric Company Methods and systems for restoring power based on forecasted loads
US9577435B2 (en) 2013-03-13 2017-02-21 Abb Research Ltd. Method and apparatus for managing demand response resources in a power distribution network
CN103227450B (en) * 2013-04-26 2015-05-20 国家电网公司 On-line failure recovery method and system
CN103401241B (en) * 2013-08-15 2015-09-16 中国能源建设集团广东省电力设计研究院有限公司 A kind of micro-capacitance sensor service restoration method based on distributed power source ad-hoc network strategy
US20150074260A1 (en) * 2013-09-11 2015-03-12 Cisco Technology, Inc. Auto discovery and topology rendering in substation networks
DE102014202723A1 (en) * 2014-02-14 2015-08-20 Siemens Aktiengesellschaft Display unit and system for distributing electrical energy with a corresponding display unit
US20150350260A1 (en) * 2014-05-30 2015-12-03 General Electric Company Systems and methods for managing infrastructure systems
KR101614208B1 (en) * 2014-06-11 2016-04-20 한국전력공사 Agent system for operating intelligent system of digital substation and method for operating the same
US10063280B2 (en) 2014-09-17 2018-08-28 At&T Intellectual Property I, L.P. Monitoring and mitigating conditions in a communication network
CN104200051B (en) * 2014-09-22 2017-10-31 哈尔滨工程大学 A kind of Ship Electrical Power System malfunction assesses the emulation mode with countermeasure
US9952612B2 (en) * 2015-03-03 2018-04-24 Caterpillar Inc. Power system having zone-based load sharing
CN104734352B (en) * 2015-03-10 2017-06-20 国家电网公司 A kind of distribution line Loop Closing Operation control method
US9912027B2 (en) 2015-07-23 2018-03-06 At&T Intellectual Property I, L.P. Method and apparatus for exchanging communication signals
CN105388882B (en) * 2015-11-05 2018-05-11 国网浙江省电力公司杭州供电公司 A kind of power grid accident prediction scheme determines method and apparatus
US10680430B2 (en) * 2016-06-14 2020-06-09 Tikla Com Inc. Fault recovery systems and methods for electrical power distribution networks
CN106385013B (en) * 2016-09-30 2018-07-20 国网江苏省电力公司扬州供电公司 The fault location shielding system and its working method of the adaptive power distribution network method of operation
US10811767B2 (en) 2016-10-21 2020-10-20 At&T Intellectual Property I, L.P. System and dielectric antenna with convex dielectric radome
CN107293173B (en) * 2017-06-06 2019-08-23 积成电子股份有限公司 Distribution network failure emulation training modeling method based on isolation information battle array
CN107294070B (en) * 2017-06-13 2019-12-27 上海电力学院 Intelligent distributed system fault processing method based on in-situ protection logic equipment
CN108493922A (en) * 2018-02-27 2018-09-04 广东电网有限责任公司河源供电局 Power grid accident quickly leads drawing method under a kind of baseline risk
CN108564252B (en) * 2018-03-15 2022-05-10 广西大学 Power distribution network power supply reliability calculation method considering multifunctional power distribution automation
CN109787276B (en) * 2018-12-12 2020-11-10 博锐尚格科技股份有限公司 Distributed energy system, energy intelligent terminal and control method thereof
CN110350511B (en) * 2019-05-23 2023-04-25 国网河南省电力公司郑州供电公司 Power distribution network fault recovery method based on transfer power affinity
WO2021037357A1 (en) 2019-08-28 2021-03-04 Abb Schweiz Ag Restoration of fault insulated feeder
CA3092041C (en) * 2019-09-24 2023-04-25 S&C Electric Company Utility distribution fault restoration system
US20210102986A1 (en) * 2019-10-07 2021-04-08 G & W Electric Company Single phase fault isolation and restoration for loss of voltage fault in power distribution network
US11251606B2 (en) 2019-10-07 2022-02-15 G & W Electric Company Single phase fault isolation and restoration for power distribution network
CN110967564B (en) * 2019-10-28 2022-04-01 许昌开普检测研究院股份有限公司 Automatic testing system of commutation switch type three-phase load unbalance automatic adjusting device
CN110739688A (en) * 2019-10-31 2020-01-31 中国南方电网有限责任公司 Urban power grid load balancing method based on SCADA big data
US11112815B1 (en) 2020-03-30 2021-09-07 Schweitzer Engineering Laboratories, Inc. Fault isolation and restoration scheme
CN111541236B (en) * 2020-03-30 2023-03-28 国网江西省电力有限公司电力科学研究院 Feeder automation function improvement and terminal accurate positioning method
CN111313416B (en) * 2020-03-31 2022-04-15 北京交通大学 Multi-source collaborative intelligent power distribution network fault recovery sequence optimization decision method
CN111753385B (en) * 2020-07-03 2023-07-25 石家庄科林电气股份有限公司 Power supply searching method based on water flow path simulating algorithm
US11646603B2 (en) 2020-07-20 2023-05-09 G & W Electric Company Single phase fault isolation and restoration with loop avoidance for multiple tie-in devices
US11626753B2 (en) 2020-07-20 2023-04-11 G & W Electric Company Single phase fault isolation and restoration with loop avoidance
US11588347B2 (en) * 2020-07-20 2023-02-21 G & W Electric Company Single phase fault isolation and restoration with load estimation
CN112969344B (en) * 2021-02-08 2022-10-11 哈尔滨工业大学 Electric load heat dissipation water circulation control method based on single water tank liquid level monitoring
CN113363987A (en) * 2021-05-11 2021-09-07 国网上海市电力公司 Master-slave type fault self-healing control method and system for power distribution network

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6172432B1 (en) * 1999-06-18 2001-01-09 Gen-Tran Corporation Automatic transfer switch
US20030115000A1 (en) * 2001-12-13 2003-06-19 Bodas Devadatta V. Method to estimate power and cooling requirements of systems
US20060238364A1 (en) * 2005-04-26 2006-10-26 Keefe R A Power distribution network performance data presentation system and method
US20090132302A1 (en) * 2005-04-29 2009-05-21 Fat Spaniel Technologies, Inc. Computer implemented systems and methods for improving renewable energy systems performance guarantees
US20090187284A1 (en) * 2008-01-21 2009-07-23 Kreiss David G System and Method for Providing Power Distribution System Information
US20100161151A1 (en) * 2008-12-18 2010-06-24 Abb Research Ltd. Feeder automation for an electric power distribution system
US7751166B2 (en) * 2007-03-16 2010-07-06 Abb Technology Ag Advanced feeder architecture with automated power restoration
US7844568B2 (en) * 2007-09-19 2010-11-30 Fein Gene S System and method for data processing and transferring in a multi computer environment for energy reporting and forecasting
US20110029148A1 (en) * 2007-12-12 2011-02-03 Fang Yang Load restoration for feeder automation in electric power distribution systems
US7979222B2 (en) * 2008-10-14 2011-07-12 Abb Research Ltd. Short-term load forecasting based capacity check for automated power restoration of electric distribution networks
US20120065792A1 (en) * 2010-09-09 2012-03-15 Kabushiki Kaisha Toshiba Supply-demand balance controller
US20120232713A1 (en) * 2009-12-04 2012-09-13 Abb Research Ltd. Restoration Switching Analysis with Modified Genetic Algorithm
US20120296711A1 (en) * 2011-05-20 2012-11-22 Lee Huffman Methods for reducing the peak demand of electric utilities during air conditioning season
US20130041519A1 (en) * 2011-08-09 2013-02-14 Crestron Electronics, Inc. Intelligent Backup Power System
US20150046221A1 (en) * 2011-09-17 2015-02-12 Autogrid Inc. Load forecasting from individual customer to system level based on price

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3668351A (en) 1969-07-30 1972-06-06 Kearney National Inc Sectionalizing and protective apparatus for single house transformer
US5303112A (en) 1990-10-26 1994-04-12 S & C Electric Company Fault detection method and apparatus
US5572438A (en) * 1995-01-05 1996-11-05 Teco Energy Management Services Engery management and building automation system
US5734586A (en) * 1995-05-05 1998-03-31 Cornell Research Foundation, Inc. System for achieving optimal steady state in power distribution networks
US5784237A (en) 1996-11-29 1998-07-21 S&C Electric Company Control method and apparatus for power distribution network
US5883796A (en) * 1997-04-07 1999-03-16 Wisconsin Alumni Research Foundation Dynamic series voltage restoration for sensitive loads in unbalanced power systems
US5973899A (en) 1998-09-10 1999-10-26 Pacificorp Automated power feeder restoration system and method
US20040010350A1 (en) * 2000-05-31 2004-01-15 Per-Anders Lof Distributed power generation system protection scheme
US6867958B2 (en) * 2000-12-27 2005-03-15 Abb Technology Ag Loop restoration scheme for distribution feeders
US6816757B1 (en) * 2002-09-19 2004-11-09 Abb Technology Ag Control unit for a power-distribution network
NZ539409A (en) * 2002-10-25 2007-01-26 S & C Elctric Co Method and apparatus for control of an electric power system in response to circuit abnormalities
US6907321B2 (en) * 2003-01-31 2005-06-14 Viserge Limited Fault control and restoration in a multi-feed power network
US7149605B2 (en) * 2003-06-13 2006-12-12 Battelle Memorial Institute Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices
JP4017161B2 (en) * 2004-01-22 2007-12-05 日本アイ・ビー・エム株式会社 Section identification system, distribution system monitoring system, method and program thereof
US7705487B2 (en) * 2006-05-18 2010-04-27 Virelec Ltd. Power restoration system for electrical power network
CA2589635C (en) * 2006-05-18 2017-02-14 Virelec Ltd. Power restoration system for electrical power network
US7652396B2 (en) * 2006-07-21 2010-01-26 Florida State University Research Foundation Systems and methods for improving the ability of a power delivery system to withstand multiple failure events
US8010336B2 (en) 2006-11-08 2011-08-30 Virelec Ltd. Power restoraton system for electrical power network
US9917436B2 (en) * 2007-10-30 2018-03-13 General Electric Company System and method for control of power distribution

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6172432B1 (en) * 1999-06-18 2001-01-09 Gen-Tran Corporation Automatic transfer switch
US20030115000A1 (en) * 2001-12-13 2003-06-19 Bodas Devadatta V. Method to estimate power and cooling requirements of systems
US20060238364A1 (en) * 2005-04-26 2006-10-26 Keefe R A Power distribution network performance data presentation system and method
US20090132302A1 (en) * 2005-04-29 2009-05-21 Fat Spaniel Technologies, Inc. Computer implemented systems and methods for improving renewable energy systems performance guarantees
US7751166B2 (en) * 2007-03-16 2010-07-06 Abb Technology Ag Advanced feeder architecture with automated power restoration
US7844568B2 (en) * 2007-09-19 2010-11-30 Fein Gene S System and method for data processing and transferring in a multi computer environment for energy reporting and forecasting
US20110029148A1 (en) * 2007-12-12 2011-02-03 Fang Yang Load restoration for feeder automation in electric power distribution systems
US20090187284A1 (en) * 2008-01-21 2009-07-23 Kreiss David G System and Method for Providing Power Distribution System Information
US7979222B2 (en) * 2008-10-14 2011-07-12 Abb Research Ltd. Short-term load forecasting based capacity check for automated power restoration of electric distribution networks
US20100161151A1 (en) * 2008-12-18 2010-06-24 Abb Research Ltd. Feeder automation for an electric power distribution system
US20120232713A1 (en) * 2009-12-04 2012-09-13 Abb Research Ltd. Restoration Switching Analysis with Modified Genetic Algorithm
US20120065792A1 (en) * 2010-09-09 2012-03-15 Kabushiki Kaisha Toshiba Supply-demand balance controller
US20120296711A1 (en) * 2011-05-20 2012-11-22 Lee Huffman Methods for reducing the peak demand of electric utilities during air conditioning season
US20130041519A1 (en) * 2011-08-09 2013-02-14 Crestron Electronics, Inc. Intelligent Backup Power System
US20150046221A1 (en) * 2011-09-17 2015-02-12 Autogrid Inc. Load forecasting from individual customer to system level based on price

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106684871A (en) * 2017-03-29 2017-05-17 华东交通大学 Intelligent distribution network self-healing control method based on fault-tolerant thought
EP3817174A1 (en) * 2017-05-01 2021-05-05 ABB Power Grids Switzerland AG Nested microgrid control system
EP3413418B1 (en) * 2017-06-05 2023-03-08 ABB S.p.A. A computer-implemented method for configuring an electronic relay
CN111817353A (en) * 2020-08-10 2020-10-23 谭世克 Power distribution network equipment fault processing method
WO2022072570A1 (en) * 2020-10-01 2022-04-07 S&C Electric Company Radial restoration
US11646573B2 (en) 2020-10-01 2023-05-09 S&C Electric Company Closed loop restoration
US11646572B2 (en) 2020-10-01 2023-05-09 S&C Electric Company Radial restoration
US11901726B2 (en) 2020-10-01 2024-02-13 S&C Electric Company Restoration management
US20220271534A1 (en) * 2021-02-25 2022-08-25 S&C Electric Company Efficient knowledge dissemination method for distribution automation with distributed controls

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